Carly Cardello

873 total citations · 2 hit papers
6 papers, 312 citations indexed

About

Carly Cardello is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Carly Cardello has authored 6 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 1 paper in Genetics. Recurrent topics in Carly Cardello's work include Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and T-cell and B-cell Immunology (3 papers). Carly Cardello is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and T-cell and B-cell Immunology (3 papers). Carly Cardello collaborates with scholars based in United States. Carly Cardello's co-authors include Dario A.A. Vignali, Anthony R. Cillo, Creg J. Workman, Tullia C. Bruno, John M. Kirkwood, Sheryl Kunning, Erin A. Brunazzi, Sasikanth Manne, E. John Wherry and Jian Cui and has published in prestigious journals such as Cell, Nature Immunology and The Journal of Immunology.

In The Last Decade

Carly Cardello

6 papers receiving 306 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LAG-3 and PD-1 synergize on CD8+ T cells to drive T cell exhaustion and hinder autocrine IFN-γ-dependent anti-tumor immunity

2024 110 citations Lawrence P. Andrews, Jian Cui et al. Cell profile →
Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunity

2024 75 citations Anthony R. Cillo, Carly Cardello et al. Cell profile →

Peers

Carly Cardello

IMMUN

ONCOL

MB

PRM

CR

Brittany Fitzgerald United States

Victoria Kim United States

Haytham El Salhat Qatar

Lea Lowenfeld United States

Corey Gallen United States

Ian R. Sturgill United States

Jorge Scutti United States

Lucas Blanchard United States

Claire Y. Oh United States

Beny Shapiro Israel

Brittany Fitzgerald United States

Carly Cardello

216 ×1.1

IMMUN

201 ×1.0

ONCOL

89 ×1.5

MB

45 ×1.3

PRM

39 ×1.2

CR

Citations per year, relative to Carly Cardello Carly Cardello (= 1×) peers Brittany Fitzgerald

Countries citing papers authored by Carly Cardello

Since Specialization

Citations

This map shows the geographic impact of Carly Cardello's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carly Cardello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carly Cardello more than expected).

Fields of papers citing papers by Carly Cardello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carly Cardello. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carly Cardello. The network helps show where Carly Cardello may publish in the future.

Co-authorship network of co-authors of Carly Cardello

This figure shows the co-authorship network connecting the top 25 collaborators of Carly Cardello. A scholar is included among the top collaborators of Carly Cardello based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carly Cardello. Carly Cardello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Grebinoski, Stephanie, Qianxia Zhang, Anabelle Visperas, et al.. (2024). Regulatory T Cell Insufficiency in Autoimmune Diabetes Is Driven by Selective Loss of Neuropilin-1 on Intraislet Regulatory T Cells. The Journal of Immunology. 213(6). 779–794. 6 indexed citations

2.

Cillo, Anthony R., Carly Cardello, Feng Shan, et al.. (2024). Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunity. Cell. 187(16). 4373–4388.e15. 75 indexed citations breakdown →

3.

Andrews, Lawrence P., Jian Cui, Anthony R. Cillo, et al.. (2024). LAG-3 and PD-1 synergize on CD8+ T cells to drive T cell exhaustion and hinder autocrine IFN-γ-dependent anti-tumor immunity. Cell. 187(16). 4355–4372.e22. 110 indexed citations breakdown →

4.

Shan, Feng, Anthony R. Cillo, Carly Cardello, et al.. (2023). Integrated BATF transcriptional network regulates suppressive intratumoral regulatory T cells. Science Immunology. 8(87). eadf6717–eadf6717. 16 indexed citations

5.

Onkar, Sayali, Jian Cui, Jian Zou, et al.. (2023). Immune landscape in invasive ductal and lobular breast cancer reveals a divergent macrophage-driven microenvironment. Nature Cancer. 4(4). 516–534. 35 indexed citations

6.

Grebinoski, Stephanie, Qianxia Zhang, Anthony R. Cillo, et al.. (2022). Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3. Nature Immunology. 23(6). 868–877. 70 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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